[Recommendations for the management of critically ill patients with COVID-19 in Intensive Care Units]. / Recomendaciones para el manejo de los pacientes críticos con COVID-19 en las Unidades de Cuidados Intensivos.

The COVID-19 pandemic has led to the admission of a high number of patients to the ICU, generally due to severe respiratory failure. Since the appearance of the first cases of SARS-CoV-2 infection, at the end of 2019, in China, a huge number of treatment recommendations for this entity have been published, not always supported by sufficient scientific evidence or with methodological rigor necessary. Thanks to the efforts of different groups of researchers, we currently have the results of clinical trials, and other types of studies, of higher quality. We consider it necessary to create a document that includes recommendations that collect this evidence regarding the diagnosis and treatment of COVID-19, but also aspects that other guidelines have not considered and that we consider essential in the management of critical patients with COVID-19. For this, a drafting committee has been created, made up of members of the SEMICYUC Working Groups more directly related to different specific aspects of the management of these patients.

External validation of the Simplified Acute Physiology Score (SAPS) 3 in Spain.

OBJECTIVE: To evaluate SAPS 3 performance in Spain, assessing discrimination and calibration in a multicenter study. DESIGN: A prospective, multicenter study was carried out. PATIENTS AND SETTING: A prospective cohort study was performed in Spanish hospitals between 2006 and 2011. MEASUREMENTS AND RESULTS: A total of 2171 patients were included in the study. The mean age was 61.4±16.09 years, the ICU mortality was 11.6%, and hospital mortality 16.03%. The SAPS 3 score was 46.29±14.34 points, with a probability of death for our geographical area of 18.57%, and 17.97% for the general equation. The differences between observed-to-predicted mortality were analyzed with the Hosmer-Lemeshow test, which yielded H=31.71 (p<0.05) for our geographical area and H=20.05 (p<0.05) for the general equation. SAPS 3 discrimination with regard to hospital mortality, tested using the area under the ROC curve, was 0.845 (0.821-0.869). CONCLUSION: Our study shows good discrimination of the SAPS 3 system in Spain, but also inadequate calibration, with differences between predicted and observed mortality. There are more similarities with regard to the general equation than with respect to our geographical area equation, and in both cases the SAPS 3 system overestimates mortality. According to our results, Spanish ICU mortality is lower than in other hospitals included in the multicenter study that developed the SAPS 3 system, in patients with similar characteristics and severity of illness.

Recommendations for the management of critically ill patients with COVID-19 in Intensive Care Units.

The COVID-19 pandemic has led to the admission of a high number of patients to the ICU, generally due to severe respiratory failure. Since the appearance of the first cases of SARS-CoV-2 infection, at the end of 2019, in China, a huge number of treatment recommendations for this entity have been published, not always supported by sufficient scientific evidence or with methodological rigor necessary. Thanks to the efforts of different groups of researchers, we currently have the results of clinical trials, and other types of studies, of higher quality. We consider it necessary to create a document that includes recommendations that collect this evidence regarding the diagnosis and treatment of COVID-19, but also aspects that other guidelines have not considered and that we consider essential in the management of critical patients with COVID-19. For this, a drafting committee has been created, made up of members of the SEMICYUC Working Groups more directly related to different specific aspects of the management of these patients.

[Recommendations of the Working Groups from the Spanish Society of Intensive and Critical Care Medicine and Coronary Units (SEMICYUC) for the management of adult critically ill patients in the coronavirus disease (COVID-19)]. / Recomendaciones de «hacer¼ y «no hacer¼ en el tratamiento de los pacientes críticos ante la pandemia por coronavirus causante de COVID-19 de los Grupos de Trabajo de la Sociedad Española de Medicina Intensiva, Crítica y Unidades Coronarias (SEMICYUC).

On March 11, 2020, the Director-General of the World Health Organization (WHO) declared the disease caused by SARS-CoV-2 (COVID-19) as a pandemic. The spread and evolution of the pandemic is overwhelming the healthcare systems of dozens of countries and has led to a myriad of opinion papers, contingency plans, case series and emerging trials. Covering all this literature is complex. Briefly and synthetically, in line with the previous recommendations of the Working Groups, the Spanish Society of Intensive, Critical Medicine and Coronary Units (SEMICYUC) has prepared this series of basic recommendations for patient care in the context of the pandemic.

Humanization in healthcare arises from the need for a holistic approach to illness. / Implantación de un proyecto de humanización en una Unidad de Cuidados Intensivos.

Suffering is not only exclusive to patients or their relatives, but also to the health professionals, who feel to be at the center of the depersonalization process. Over-technification and the fact that the disease process is sometimes the only focal point of our activities, together with the ever-increasing influence of institutional power seen in recent times, all cause the health professional to be the first in demanding a change in health institution dynamics. Following initial reflection from one of the most technified medical specialties (Intensive Care Medicine), classically isolated from the rest of the Hospital and from the community, we implemented a project aimed at securing integration and empathy in our approach to patients and their relatives in the Intensive Care Unit (ICU) of Infanta Margarita Hospital. The project was designed to incorporate tools for working on the most important elements of a humanization plan, i.e., the patients, their relatives, the health professionals and the community, attempting to disclose the work done in the ICU over a period of 12 months. This project is referred to as the Project ICU Infanta Margarita: 1 year: 12 months for 12 commitments.

Relationship between functional status prior to onset of critical illness and mortality: a prospective multicentre cohort study.

This prospective study aimed to assess the association between prior functional status and hospital mortality for patients admitted to four intensive care units in Spain between 2006 and 2012. Prior functional status was classified into three groups, using a modification of the Glasgow Outcome Scale (GOS), including group 1 with no limitations on activities of daily living; group 2 with some limitations but self-sufficient; and group 3 who were dependent on others for their activities of daily living. Of the 1,757 patients considered (mean Simplified Acute Physiology Score [SAPS] predicted mortality 14.8% and hospital mortality 13.7%), group 1 had the lowest observed hospital mortality (8.3%) compared to the SAPS 3 predicted mortality (11.6%). The observed mortality for group 2 (20.6%) and group 3 (27.4%) were both higher than predicted (19.2% and 21.2% respectively; odds ratio [OR] 1.97, 95% confidence interval [CI] 1.38-2.82 for group 2 and OR 2.90, 95% CI 1.78-4.72 for group 3 compared to group 1). Combining prior functional status and Sequential Organ Failure Assessment (SOFA) score with SAPS 3 further improved the ability of the SAPS 3 scores in predicting hospital mortality (area under the receiver operating characteristic curve 0.85 [95% CI 0.82-0.88] versus 0.84 [95% CI 0.81-0.87] respectively). In summary, patients with limited functional status prior to ICU admission had a higher risk of observed hospital mortality than predicted. Assessing prior functional status using a relatively simple questionnaire, such as a modified GOS, has the potential to improve the accuracy of existing prognostic models.